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Study of an Intelligent Agriculture System based on IoT.

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dc.contributor.author Boukedjar Yasmine, Benkechida Wardia
dc.date.accessioned 2024-09-24T13:33:56Z
dc.date.available 2024-09-24T13:33:56Z
dc.date.issued 2024-07
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/5477
dc.description.abstract This master’s thesis discusses how the IOT can be used toward the development of an intelligent agriculture system, with a special focus on the design and implementation of our smart lawn mower project. The smart lawn mower includes advanced features, such as obstacle detection and independent working, offered by IoT technologies. By intelligently embedding sensors, actuators, and connectivity, the project develops the autonomy and efficiency of lawn care, achieving sustainable and productive outdoor care. Conclusions derived from this research indicate the applicability of IoT in increasing productivity and minimizing the impact on the environment in agricultural settings, and they provide insight into further projects seeking to use the power of IoT for smart farming solutions. en_US
dc.language.iso en en_US
dc.publisher faculté des sciences et de la technologie* univ bba en_US
dc.relation.ispartofseries ;EL/M/2024/09
dc.subject IOT, Intelligent Agriculture System, Smart Lawn Mower, Obstacle Detection, Sensors, Actuators, Connectivity, Autonomy, Smart Farming en_US
dc.title Study of an Intelligent Agriculture System based on IoT. en_US
dc.type Thesis en_US


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